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The Book Look: Enterprise Intelligence
Every once in a while, a book comes along that contains such innovative ideas that I find myself whispering “wow” and “interesting” as I read through the pages. “Enterprise Intelligence,” by Eugene Asahara, is one such book. Eugene takes three basic ingredients that are not so new (business intelligence, knowledge graphs, and large language models), […]


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Author: Steve Hoberman

Through the Looking Glass: Metaphors, MUNCH, and Large Language Models
“What’s a metaphor?”  Mr. Biergel posed the question one morning to my high school grammar class. Being typical teenagers, we looked at him with blank-eyed stares. We expected that if we waited long enough, he’d write a paragraph-long definition on the blackboard.  “What’s a metaphor?” he repeated.  “A place for cows to graze!”  We groaned. […]


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Author: Randall Gordon

How a Neuro-Symbolic AI Approach Can Improve Trust in AI Apps


As a cognitive scientist, I’ve been immersed in AI for more than 30 years – specifically in speech and natural language understanding, as well as machine-based learning and rule-based decision-making. Progress in our field is always uneven, unfolding in fits and starts. Those of us in the AI field have witnessed multiple “AI winters” over the […]

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Author: Jans Aasman

Knowledge Graphs 101: The Story (and Benefits) Behind the Hype


Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. As a hub for data, metadata, and content, they provide a unified, consistent, and unambiguous view of data scattered across different systems. Using global knowledge as context for […]

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Author: Doug Kimball

Supercharging Value from Data in 2024


Without a doubt, initiatives such as generative AI (GenAI) and cloud migration have garnered the bulk of attention among influencers and data leaders this year, as organizations tried to determine how, and if, they made sense for their business. This trend looks like it will continue in 2024, as nearly all of Gartner’s top strategic […]

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Author: Atanas Kiryakov

Semantic Web and AI: Empowering Knowledge Graphs for Smarter Applications


Data is the cornerstone of innovation in today’s highly digital world. However, in its raw state, data isn’t very useful as it lacks meaning and context. This is where the Semantic Web comes in – it provides a framework that imbues data with meaning, allowing machines to understand and process it just as humans do.  […]

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Author: Nahla Davies

Usability and Connecting Threads: How Data Fabric Makes Sense Out of Disparate Data


Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a […]

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Author: Doug Kimball

Modeling Modern Knowledge Graphs


In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.”  In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back. “Knowledge graph” is not a new term; see for yourself […]

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Author: Thomas Frisendal